Abstract

The emergence of AI has generated both opportunities and challenges, necessitating a fundamental rethinking and redesign of assessment systems in higher education to meet the demands of the digital age. The study proposes a human-centered, AI-integrated assessment model comprising five: digital platforms and infrastructure, assessment data and AI tools, AI-assisted assessment processes with human oversight, stakeholder capabilities, ethical and legal governance. The model's particular contribution lies in the clear integration of pedagogical criteria with the AI system through suggestion-based design, ensuring alignment between automated analysis and educational goals while maintaining the central role of faculty in interpretation and decision-making. The proposed model provides a theory-based framework to guide higher education institutions in designing transparent, adaptive, and ethically accountable assessment systems. It contributes to the research literature by connecting technological innovation with pedagogical integrity and institutional viability, thereby supporting the sustainable and meaningful integration of artificial intelligence (AI) into higher education assessment.

Keywords: Assessment models, Artificial intelligence, digital transformation, higher education, human-in-the-loop, AI-integrated assessment.